What industries do you work with?

Finance & CA firms (invoicing, GST, compliance), banking & lending (document processing, credit analysis), SaaS products (AI features), and enterprises needing Salesforce or CRM AI integrations. Also ecommerce and SMBs automating knowledge work.

How long does a typical project take?

Focused AI automation (e.g. invoice OCR) takes 3–4 weeks. Full AI SaaS runs 8–14 weeks. Enterprise integrations and agentic systems fall between 4–8 weeks. Precise timeline is confirmed during scoping.

Do you work with open-source models or only GPT/Claude?

Both. Most enterprise clients use GPT-4 or Claude for reliability. For privacy or cost constraints, Llama, Mistral, or other open models on your infrastructure. Selection is ROI-driven.

What does engagement look like post-launch?

Every project includes a 60-day support window. Optional retainers for ongoing development, monitoring, and features. Many clients stay on retainer after the initial build.

What's your pricing structure?

Discovery calls are free. Fixed pricing for scoped builds; time-and-material for exploratory work. Typical range: ₹1.5L for focused modules to ₹8L+ for full-stack AI products. Quote after scoping.

Is my data safe when you build AI systems?

Security is designed in from day one — data can stay in your cloud, encryption, audit logs, and PII handling for regulated industries. NDAs are standard.

Available for new projects — 2026

Enterprise AI systems that ship to production.

Sahaj Godhani · Creator of AutoCA

Replace manual workflows with production LLM apps, agents, RAG, and document intelligence — proven at AutoCA scale: 5k+ CAs, 20+ hours saved weekly.

See production work →

5k+CAs on AutoCA
ProductionAI systems live
Google + AzureAI certified

What brings you here?

autoca.in — live product

AutoCA — AI invoice platform for CAs and tax professionals

Document intelligence pipeline

5k+

CAs

12k+

Tax pros

20+ hrs

Saved / week

Enterprise AI in production · AutoCA

What brings you here?

50+

Projects shipped

5+ yrs

AI engineering

Production systems live

IN · EU · US

Clients served

Certifications

Google Cloud · Prompt Design in Vertex AIMicrosoft · Azure AI Fundamentals

Services

AI systems that replace manual workflows at scale.

Each engagement starts with a business problem and ends with a measurable outcome — stack and timeline included.

All services

LLM Application Development

4–10 weeks typical

Business problem: Teams need production LLM products, not demos — with memory, tools, and reliable outputs.
Solution: End-to-end LLM apps using GPT-4, Claude, Gemini, or open-source models — with RAG, tool use, and memory systems built for production.
Business outcome: Shippable AI features with observability, evals, and clear ownership.

Technologies

OpenAI
Claude
LangChain
Pinecone
FastAPI

Explore service

Agentic AI Systems

4–8 weeks typical

Business problem: Manual multi-step workflows burn hours and break under volume.
Solution: Multi-step AI agents that reason, plan, and act across APIs, databases, and tools — from research agents to business automation.
Business outcome: Autonomous workflows that reduce ops load and cycle time.

Technologies

LangGraph
Claude
MCP
Python
Redis

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OCR & Document Intelligence

3–8 weeks typical

Business problem: Invoices, bank statements, and contracts stay trapped in unstructured formats.
Solution: AI extraction, validation, and automation pipelines that turn documents into structured, actionable data.
Business outcome: Hours of manual entry eliminated; fewer GST/credit errors.

Technologies

PaddleOCR
Custom models
Pydantic
Azure
FastAPI

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Enterprise AI Integrations

4–8 weeks typical

Business problem: AI sits outside Salesforce, ERP, and CRM — so adoption stalls.
Solution: Connect AI to your stack via MCP servers, APIs, and event-driven pipelines with zero disruption.
Business outcome: Natural-language access to live business systems.

Technologies

MCP
Salesforce
Claude
FastAPI
Webhooks

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AI SaaS Product Development

8–14 weeks typical

Business problem: Founders need a full AI product — UI, API, infra — not a prototype.
Solution: Full-stack builds: React + FastAPI + LLM layer + cloud, delivered as working SaaS.
Business outcome: Production SaaS with clear milestones and launch path.

Technologies

React
Next.js
FastAPI
Docker
GCP

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AI Audit & Strategy Consulting

2–4 weeks typical

Business problem: Teams don't know where AI will create real ROI.
Solution: AI readiness assessment, stack evaluation, and a 90-day adoption roadmap.
Business outcome: Prioritized opportunities with architecture and cost clarity.

Technologies

Workshops
Architecture docs
ROI models

Explore service

Featured work

Production AI with measurable business outcomes.

My Product · CA / GST SaaS

AutoCA — AI Invoice Platform for CAs

AutoCA is India's custom AI invoice automation platform: upload any invoice (image, PDF, Excel), proprietary extraction models parse every field, auto-reconcile GST, and export to Tally, Zoho, or QuickBooks — plus…

Saved per practice / week

Read case study

FinTech · Korea · Broker AI

MarketPulse AI

Financial data analysis for the South Korean market — live KIS broker feeds, AI prediction models, multi-horizon price forecasts, and confidence-scored trade guidance.

AI Agents · WhatsApp · Automation

Multi-Modal WhatsApp AI Agent

Production WhatsApp AI agent — understands text, voice, images, and PDFs; automates CRM, calendar, email, and API workflows with OpenAI, LangChain, and n8n.

Mobile · Finance · ML/DL

AI Finance App

Real-time and historical market analysis with LSTM models, market feeds, and FastAPI backends on GCP.

View all work

Process

From first call to production in weeks.

Discovery

Deep business audit

1 week

45–60 min discovery call. Map workflows, identify AI opportunities, quantify ROI. Clear picture of what's worth building.

Architecture

System design & scoping

3–7 days

Model selection, data flows, APIs, infra — with milestones, stack choices, and cost estimates.

Build

Rapid iterative development

3–12 weeks

Weekly demos, staging previews, production-grade code with tests, logging, and cloud deployment from day one.

Deploy & Scale

Handoff, training & support

1–2 weeks + 60-day support

Full deployment, team training, documentation, 60-day support. Optional retainer for ongoing features.

How engagements work

Client feedback

Outcomes clients remember.

On-time delivery
“Finished the AI trading bot with clear requirements from day one and on-time delivery. We want to continue with further tasks.”
RK
Robert Kalf
Founder · Trading systems · AI Trading Project

Ahead of schedule
“Delivered before deadline, always available with updates, and easy to collaborate with. I will hire Sahaj again for upcoming AI work.”
MB
Mac Bozon
Product lead · AI application · AI Application Project

Production integration
“Exactly what we needed — professional, responsive, and precise. Highly recommend for any AI integration project.”
EY
Ege Yay
Libretto · AI Integration · Libretto

FAQ

Common questions.

Anything else? Send a message or talk to the AI consultant.

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